A practical methodology to perform global sensitivity analysis for 2D hydrodynamic computationally intensive simulations

Abstract Sensitivity analysis is a commonly used technique in hydrological modeling for different purposes, including identifying the influential parameters and ranking them. This paper proposes simplified sensitivity approach by applying Taguchi design ANOVA to 2D hydrodynamic flood simulations, which are computationally intensive. offers an effective practical way rank influencing parameters, quantify contribution of each parameter variability outputs, investigate possible interaction between input parameters. A number simulations have been carried out using proposed combinations (L27 L9 orthogonal arrays) influence four key namely mesh size, runoff coefficient, roughness precipitation intensity. The results indicate that methodology adequate analysis, intensity dominant parameter. Furthermore, model calibration based on local variables (cross-sectional water level) can be inaccurate simulate global (flooded area).